A Novel Fuzzy Based Beluga Whale Optimization for Enhancing LinkStability and Optimal Routediscovery in MANET

Abstract

The networking field plays a major role and developed significantly over the past decades. The identification of best route in Mobile Ad hoc Networks (MANETs) is a complex problem in the multipath routing method. Besides, multipath discovery is regarded as the other difficult task for improving the existence of the network. Through optimal route discovery, the routing protocol considers several parameters like link failures, topological variations, obstacles, and extended power. In this paper, based on optimal route discovery, a novel Fuzzy Beluga Whale Optimization (FBWO) is proposed for presenting effective routing and enhanced link stability. The Beluga Whale Optimization (BWO) algorithm determines multiple routes in the network for communicating data packets to their destination. However, the discovered routes may be susceptible to link failures due to the complete energy exhaustion of nodes during continuous data transmission. Therefore, the stability of links is assured by evaluating link stability indicators namely probabilistic link reliable time, link expiration time, residual battery power, link received signal strength, and link packet error rate. Moreover, optimal routes in the network are established using a fuzzy rule system by adopting fuzzy rules. Thus, the proposed FBWO approach maximizes the overall performance of the network by establishing optimal routes to broadcast packets along with enhanced link stability and signal strength. The experimental results manifest the FBWO model and achieve superior accuracy in terms of all measures than other existing methods.